13th - 16th July 2014, University of Liverpool, UK

Mini-Symposium 19:

Abstract:

Predictions under uncertainty are important to solve challenging engineering tasks. Polymorphic uncertainty modelling combines several approaches to quantify aleatory and epistemic uncertainties. Stochastic and non-stochastic approaches can be used to describe uncertain parameters of engineering structures and systems. Advanced numerical and analytical techniques are necessary to compute these structures and systems. Often, high computational effort is required, especially for the prediction of space- and time-dependent behaviour. This mini-symposium is focused on recent developments for space- and time-dependent problems under polymorphic uncertainty. Contributions are invited dealing with computational approaches for uncertain fields and uncertain processes. Theoretical works as well as practical applications are welcome.